Wed, Sep 23 · 1:00 PM EDT
TL;DR: Free, 60-minute session. Ian Pilon, founder of VoiceClaw and former forward-deployed engineer at Input Output (the company behind Cardano), sits down with Eran Dror to argue about whether AI can actually replace what a human sees embedded inside a customer's operation, and what that means for how Product teams run discovery now that building is no longer the bottleneck.
Every AI lab selling autonomy is quietly hiring forward-deployed engineers. That's an admission: the hard part was never the model. It's knowing what to build, for whom, inside which workflow. Ian has lived that gap from both sides: two years running product design for Cardano's decentralized identity and wallet products, then solo in the field building VoiceClaw for trades and trucking owner-operators.
This one gets concrete, not theoretical. What field context looks like when it never makes it into a ticket, a transcript, or a survey. Whether AI transcript analysis can actually replace embedding a person as a company scales from 50 to 500, or whether that's wishful thinking dressed up as a roadmap. And what changes when the prototype becomes the interview: build in hours, put it in front of the operator, watch, revise.
Casual and cameras-off. Drop questions in chat as you go, live Q&A at the end.
Here's What You'll Walk Away With:
• The forward-deployed engineer tell. Why every AI lab is hiring FDEs while marketing autonomy, and what that quietly admits about where the real work still lives.
• What never makes it into a ticket. The contextual intelligence an FDE picks up inside a customer's operation, with stories from IOHK's blockchain customers and Ian's trades and trucking accounts.
• The 50-to-500 problem. Which field signals actually scale (sales and support calls, usage, community, in-product feedback) and which don't, plus the live argument over whether AI transcript analysis can stand in for a person on the ground.
• Discovery as a build discipline. Why the prototype should be the interview: build in hours, put it in front of the operator, watch, revise.
• What it does to the org chart. PM headcount growing faster than engineering, who owns context, and what a PM's job becomes once making things stops being the bottleneck.
• A field-ready playbook. Three moves a Head of Product at a 100-person company can run next quarter to get FDE-grade context without hiring FDEs.
• Live Q&A. Bring the question you'd ask a forward-deployed engineer if you had one on staff.
Who Should Join?
• Heads of Product and VPs of Product at 50 to 500 person companies
• PMs who want real field context without a forward-deployed engineering team
• Product leaders deciding how PM and engineering headcount should split as AI changes both
• Anyone who sat through an AI transcript analysis demo and still isn't sure they believe it
• Founders who need discovery to move as fast as they can now ship
No technical background required.
About the Speakers
Ian Pilon is the founder of VoiceClaw, a voice AI system that gives mid-market owner-operators, in trades and trucking, a second brain they can talk to. Before VoiceClaw he spent three years at Input Output (IOHK), the company behind the Cardano blockchain: two as Head of Product Design leading a 10-person team across its decentralized identity, wallet, and governance products, then as a forward-deployed engineer and Senior AI Solution Architect embedded directly with customers. He is the author of Cultivating Clarity: The Art of Discerning What Matters Using Contextual Intelligence, drawing on interviews with nine industry experts including Jeff Jonas, Nick Shackleton-Jones, and Bob Moesta. He also founded the AI Agents Waterloo community and co-founded ETHWaterloo, the world's largest Ethereum hackathon.
Eran Dror is the Co-Founder & CEO of Evermuse, an AI product intelligence company. He is also the Managing Partner of Remake Ventures, a venture studio focused on building human-centered startups. He has helped 40+ startups raise $300M+ by finding product-market fit, including his first exit SetJam, a smart TV startup that sold to Motorola in 2012.